ArticleExplore (New York, N.Y.)
Feeling Loved: A Novel Brief Self-Report Health Measure.
Article in Explore (New York, N.Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Inheritance and Development of Self-Love: A Measurement Based on Chinese Adults.Behavioral sciences (Basel, Switzerland) · 2025Article
- Article
- Risk Factors for Self-Harm Ideation Among Persons Treated With Opioids for Chronic Low Back Pain.The Clinical journal of pain · 2023Article
- Measuring Youth Perceptions of Being Known and Loved and Positive Youth Development: Cross-National Findings from Rwanda and El Salvador.Child & youth care forum · 2022Article
- Lack of Social Support and Its Role on Self-Perceived Health in a Representative Sample of Spanish Adults. Another Aspect of Gender Inequality.Journal of clinical medicine · 2021Article
- Loving Others: The Impact of Compassionate Love on Later-Life Psychological Well-being.The journals of gerontology. Series B, Psychological sciences and social sciences · 2021Article
- Mindfulness-based programme for residents: study protocol of a randomised controlled trial.BMJ open · 2020Article
- Predictors of Mindfulness Meditation and Exercise Practice, from MEPARI-2, a randomized controlled trial.Mindfulness · 2019Article
- Mindful Eco-Wellness: Steps Toward Personal and Planetary Health.Global advances in integrative medicine and healthArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
contextThere is need for a short validated self-report instrument for assessing the feeling of being loved. The Feeling Loved instrument asks: "Do you feel loved?" and "How loved do you feel?" as well as "Do you love yourself?" and "How much do you love yourself?" with 100 mm visual analogue scales assessing the continuous response options.
objectiveTo assess convergent and discriminant validity and to explore psychometric structure for this novel self-report measure.
designConvergent validity comparators include: general mental health, perceived social support, perceived stress, depressive symptoms, and positive/negative emotion. Discriminant validity comparators include: gender, age, ethnicity, socioeconomic status, and body mass index. Latent class analysis techniques explore psychometric structure.
settingBaseline evaluation for a randomized controlled trial.
participantsCommunity-recruited adults in Madison, Wisconsin.
interventionThis validation study is based on pre-intervention data.
main outcome measuresStrength of correlation with comparators is used to assess convergence and discrimination. Goodness-of-fit indicators assess latent class models.
resultsOf n = 412 respondents, 92% answered positively to both Yes/No questions, and 59% self-rated ≥75/100 on both 0-to-100 VAS scales. Supporting convergent validity, highly significant (p < 0.001) Spearman's rho=ρ correlations of a summed Feeling Loved score were: mental health (ρ = 0.49); social support (ρ = 0.46); perceived stress (ρ = -0.46), depressive symptoms (ρ = -0.31), and both positive (ρ = 0.50) and negative (ρ = -0.43) emotion. Significant associations were also found for personality indicators. Supporting discriminant validity, Feeling Loved scores did not correlate significantly with physical health (ρ = -0.08), body mass index (ρ = 0.01), age (ρ = 0.06), or income (ρ = 0.07) (p values all ≥ 0.12). Latent class analysis models suggested a 3-class structure, with strong goodness-of-fit indicators.
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